Key Technologies Research on Building a Cluster-Based Parallel Computing System for Remote Sensing [chapter]

Guoqing Li, Dingsheng Liu
2005 Lecture Notes in Computer Science  
Remote sensing image processing needs high performance computing to answer the fast growing data and requirement. Cluster-based parallel remote sensing image processing shows an effective way to overcome it. With an example of PIPS, paper gives basic theory of it, such as system structure, parallel model, and data distribution strategy and software integration and so on. Many experiments have proved that such technology can afford a receivable parallel efficiency with low cost hardware
more » ... . Moreover, it is friendly for experts who know remote sensing applications well and parallel computing less in developing their own parallel application implementations.
doi:10.1007/11428862_66 fatcat:pdn3zchcvvh6redp7jreehj4me